Resources

Latest from the Lab

Practical thinking on annotation quality, diverse training data, and building models that work in the real world.

Diversity in AIThe hidden cost of bias in AI training dataBias in AI training data doesn't show up in a demo. It shows up after launch, in your users. Here's where it actually comes from and how to catch it early.Read post

LLM TrainingWhat is RLHF? A plain guide for buyers evaluating vendorsEvery annotation vendor mentions RLHF. Here's what it actually means, why it matters for your model, and the questions worth asking before you sign a contract.Read post

Annotation QualityHow Tier 2 cities annotate differently, and why it mattersSame task, same guidelines, different city, different result. Here's what we learned running annotation across five Indian states, and why it changes how models perform.Read post

Get started

Ready to see validated training data in action?

Book a demo and we'll walk through your annotation needs and how AI Signal Lab fits.